AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 635 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) ignore complaints (d) balance the data
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
4. 4.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) copy old unfair choices (d) use one group only
5. 5.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) test on one group only (d) add varied examples
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
9. 9.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) balance the data (d) ask different people
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) check who is missing
14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
17. 17.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
19. 19.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
20. 20.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
23. 23.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) balance the data
24. 24.True or false: “fix wrong labels” adds to bias. (a) True (b) False
25. 25.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) add more of the same (d) copy old unfair choices
26. 26.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
28. 28.True or false: “ask different people” helps reduce bias. (a) False (b) True
29. 29.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) check who is missing (d) balance the data
30. 30.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.Which of these adds to bias? (a) add varied examples (b) balance the data (c) check who is missing (d) test on one group only
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) ignore complaints (d) test on one group only
33. 33.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
34. 34.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
36. 36.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
38. 38.True or false: “add varied examples” helps reduce bias. (a) False (b) True
39. 39.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen

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